Senior Data Engineer

Connect with us at TechWeek MX ****!
Along with submitting your application, we'd love to meet you in person! Join our leadership team on
October 27th
for our exclusive talk:
Securing Trust in Clinical AI Agents
.
(Limited capacity)
About Us
SimplePractice is headquartered in Los Angeles, California, but we have team members who work and live across the United States, Dominican Republic, Mexico City, and Ukraine.
At SimplePractice, we are improving access to quality care by equipping health and wellness clinicians with all the tools they need to thrive in private practice.
More than 250,000 providers trust SimplePractice to build their business through our industry-leading software with powerful tools that simplify every part of practice management. From admin work to clinical care, our suite of innovative solutions work together to reduce administrative burden—empowering solo and small group practitioners to thrive alongside their clients.
Award-winning and people-first, SimplePractice is shaping the future of health tech. Recognized by MedTech Breakthrough, the Digital Health Awards, Best Places to Code in Mexico and Built In's Best Places to Work.
Our Culture
At SimplePractice, culture is our foundation. It influences the way we work, how we serve our customers, and how we approach accomplishing our mission. We have five core values that we strive to embody every day:
We think big
We take simplicity seriously
We come as we are
We act with humility
We are built on trust
Culture is everyone's responsibility at SimplePractice. Our culture is what drives us to do better for our teammates and customers.
Connection and collaboration are also key to our success. You will work with our talented multi-national teams and have opportunities to participate in onsites in both the US and Mexico.
The Role
We're looking for a Senior Data Engineer to help lead the evolution of our data stack—from pipelines to platform. In this role, you'll build the infrastructure that powers everything from product intelligence to financial reporting and self-serve analytics in product
Our customers are clinicians in small to mid-sized private practices, and the data you shape will directly help them run more efficient, effective businesses. By enabling accessible insights—from no-show trends to client engagement—you'll give practitioners the tools to make smarter, faster decisions about how they manage care.
Internally, your work will fuel everything from executive reporting and revenue forecasting to product analytics and AI evaluation loops. You'll collaborate across Data Analytics, ML, Product, and Engineering teams to build scalable, reliable systems that make data a first-class product at SimplePractice.
Responsibilities
Partner with Product, Analytics and Engineering to build scalable systems that help unlock the value of data from a wide range of sources such as backend databases, event streams, and marketing platforms
Lead technical vision and architecture with holistic point of view on both short-term and long-term horizons
Work with analytics to create company wide alignment through standardized metrics across the company
Work with Product and Engineering teams to support internal use cases such as financial reporting, product analytics and operational metrics
Enable external use cases like customer-facing dashboard, self-serve analytics, and next best action in product
Manage the complete data stack from ingestion through data consumption
Build tools to increase transparency in reporting company wide business outcomes
Work with DevOps to deploy and maintain data solutions leveraging cloud data technologies, preferably in AWS
Help define data quality and data security framework to measure and monitor data quality across the enterprise. Define and promote data engineering best practice
Desired Skills & Experience
Education & Experience
BS/MS in Engineering, Computer Science, Mathematics, or related field
7+ years in Data or Analytics Engineering
Strong problem-solving and communication skills; comfortable in fast-paced, cross-functional environments
Data Engineering & Pipelines
Enterprise architecture and enterprise data architecture (data modeling and enterprise dimensional modeling)
Expert in SQL and data modeling (relational, dimensional, semantic)
Proven experience in data warehouse design, implementation, and maintenance (Snowflake)
Hands-on with DBT for modular, testable transformations
Experience with orchestration and ingestion tools: Airflow, Prefect, Airbyte, Fivetran, Kafka
Familiar with ELT, schema-on-read, DAGs, and performance optimization
Cloud & Infrastructure
Experience with AWS (S3, RDS, Redshift, etc.)
Familiar with Terraform, Docker, and containerized workflows (bonus)
Skilled in handling structured, semi-structured (e.g., JSON), and columnar formats (e.g., Parquet, ORC)
Analytics & Enablement
Experience building and supporting semantic layers for self-serve analytics
Proficient with BI tools like Looker, Tableau, or Sisense
Comfortable standardizing metrics and enabling trusted, consistent access to data
Programming & Scripting
Proficient in Python and Unix/Linux scripting
Comfortable working with APIs (e.g., using curl)
Bonus Points
AWS DevOps - Terraform, Kubernetes, Docker
Project & Change Management skills especially experience working in an Agile (SCRUM, Kanban) environment/team focusing on sprint by sprint deliveries
Real-time ETL - Kafka streaming, AWS Kinesis
Benefits
We offer a competitive benefits program including:
Privatized Medical, Dental & Vision Coverage
Supplemental health and wellness benefit - Modern Health and Vivawell
Work From Home stipend
Flexible Time Off (FTO), wellbeing days, Summer Fridays, and Mid-Year and Year-End Reflect & Recharge (Company Holidays), Paid Holidays
Christmas Bonus ( 15-day aguinaldo )
Monthly meal/grocery voucher via Si Vale card
Catered Lunch
A relocation bonus for candidates joining us from a different city
Annual Bonus
Tuition Reimbursement
Saving Funds
Employee Resource Groups (ERGs)
Mexico Job Applicant Privacy Notice
Thank you for your interest in opportunities at
Practicease S.C.
(operating locally for SimplePractice). Please note that when you submit your resume or application materials to us for employment purposes in Mexico, your personal data will be processed in accordance with the
Practicease S.C. Job Applicant Privacy Notice
under the
Ley Federal de Protección de Datos Personales en Posesión de los Particulares (LFPDPPP)
.
Summary of Privacy Practices:
Data Controller:
Practicease S.C., located at Paseo de la Reforma **********, Col. Lomas de Chapultepec, Miguel Hidalgo, C.P. *****, Mexico City.
Purposes:
We collect your contact, academic, professional, and evaluation data to process your application, conduct skill assessments, manage candidate pipelines via Greenhouse and Workday, and prepare onboarding/payroll materials if hired.
Data Retention:
Candidate records and application materials are retained in our talent database for up to
18 months
from your last interaction.
Your Rights (ARCO):
You may access, correct, cancel, or oppose the processing of your personal data, or exercise any privacy rights at any time by contacting our team at
******
.
For full details on how we handle your personal data, please review our complete
[Practicease S.C. Job Applicant Privacy Notice (
Full Notice)
]
.
Security & Fraud Warning
Practicease S.C. and SimplePractice have been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team. We do not have any affiliation or connection to these situations and only post open roles on our official Careers page ( simplepractice.com/careers ) and reputable job boards like our official LinkedIn or Indeed pages.
All official recruitment emails will be sent from the domains @simplepractice.com, ******, or ******. Examples of fraudulent domains include careers-simplepractice.com, simplepractices.com, and simplepractice.careers.
Please note that Practicease S.C. and SimplePractice will
never
ask candidates or new hires for money or payment of any kind at any stage of the recruitment or onboarding process.